Updated: 2026-07-24
You pick an AI bot builder by six practical criteria: does it need code, can you give the bot your own knowledge base, how many channels one agent covers, does the bot have a personality (or even a body), how billing works, and whether you can try it for free. Below are the three classes of such builders and an honest check of Corpis against each criterion, including what it does not have.
Button-flow builders. You assemble the dialog with a mouse: buttons, conditions, branches, funnels. Such a bot is predictable and never makes things up, but every step of the conversation has to be drawn in advance — outside the script it answers "I did not understand." Good for a strict form or a simple menu, not for a real conversation.
Platforms with a neural-network brain. At their core is a large language model (LLM) that understands a free-form question and replies in coherent text. There is no dialog tree to draw; what matters instead is how the model is bounded — whether it remembers context and answers from your data, not just from what it "knows" from training.
Hand-written code. The bot is written directly against the Telegram API and the model API. Maximum flexibility and full control — at the cost of needing a developer, a server and ongoing maintenance. Overkill for most tasks, though sometimes the only path for non-standard logic.
A bare LLM speaks well but does not know your prices and policies and tends to invent facts when it lacks an answer. For a support or sales bot this is the most expensive failure: a made-up price or a nonexistent condition is direct damage to trust.
A knowledge base solves this differently from "paste everything into the prompt": the document is indexed once, and only the fragments relevant to the current question are mixed into each reply. Search works by meaning, not by exact word match, and along with the fragments the bot gets an instruction — answer from them, and if the base has no answer, say so honestly. So when choosing a builder, first check whether you can upload your own documents and how the bot behaves when the answer is not in them.
The second underrated criterion is channels. A business rarely has just one: you need Telegram, a chat on the site, and often a page you can share by link. If each channel is configured separately, personality and knowledge quickly drift apart, and a single edit has to be made in several places.
The right model is one agent, many surfaces: character, knowledge base and brain are shared, and a channel merely shows the same bot. Fix a rule once — it changes everywhere. When comparing, ask not "is there Telegram and a widget" but "is this one bot or several copies that share only a name".
A button bot is faceless by nature — it emits pre-written lines. A neural-network builder lets you set a character and tone: voice, rules, greeting — so the bot sounds recognizable rather than like a help desk. For a character agent or a brand bot this is not decoration but the point.
A separate axis is a visible body. An ordinary bot is text in a window; an agent with a body additionally has an animated figure that reacts with emotion to the flow of the conversation and is present on screen — in chat, on a site via a widget, or on the Windows desktop over other windows. Not every builder offers this, and if it matters to you, it is a distinct point of comparison.
No code — yes: an agent is created with a form (name, personality, rules, greeting) or assembled in words via an AI assistant; code is needed only to paste the widget line onto a site. Own knowledge base — yes: documents (price list, FAQ, policy) are uploaded on a tab, the bot answers from them and says honestly when there is no answer. Channels — one agent works in chat, in Telegram via a @BotFather token, as a site widget, on a public /a/:slug page, and as a pet on the Windows desktop. Personality and body — present, including an animated body and ready-made looks from the catalog. Start — a free plan and a 3-day Pro trial with no card required.
What Corpis does not have: a visual builder of button flows with funnels. The dialog here is not drawn as a button tree — coherence comes from the neural-network brain with memory and a knowledge base (quick buttons in Telegram exist, but this is not a flow builder). If your task is a strict button scenario with steps and branches where the literal predictability of each step matters, a button builder fits better. If you need a bot that understands a free-form question, remembers context and answers from your data across several channels at once, that is the Corpis profile.
It is a service where a bot is assembled without programming and answers through a neural network (LLM) rather than a button tree. You set the character and rules, optionally upload your own documents — and the bot replies in free-form text in chat, Telegram or on a site.
A button builder requires drawing every dialog step in advance as a button tree, and outside the script the bot does not answer. A neural-network builder understands a free-form question and replies in coherent text, while memory and a knowledge base keep it within your data. The button one is more predictable, the neural-network one is more flexible.
No, if you choose a builder platform: the agent is created with a form, documents are uploaded with a button, Telegram connects by pasting a @BotFather token. Code is needed only for a hand-written API bot or to paste the widget line onto a site.
Corpis has a free plan and a 3-day Pro trial with no card required. That is convenient precisely for testing: build an agent, connect Telegram and look at the real replies before choosing a paid plan.